Hybrid Healthcare Data Engineer: AI Pipelines on Databricks

Pfizer; New York (NY); Hybrid; USD 124,000 - 207,000; Full time

Benefits offered by this job

401(k) with Pfizer matching

Pfizer retirement savings contribution

Paid vacation/holiday/personal days

Health benefits

Job summary

Pfizer in the United States is seeking an experienced Data Engineer to build and operate production data pipelines powering AI-based workflows. You will implement canonical data models and ensure high-quality data for analytics and agentic systems.

You will collaborate across governance, data science, and engineering to map OMOP/HEDIS where applicable. The role requires strong SQL/Python skills, experience with Databricks/Snowflake, and healthcare data familiarity; the position is hybrid with

Qualifications

• Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Experience (6+ years with Bachelor's; 5+ years with Master's) in data engineering, notably in the healthcare/pharma sector.
• Strong SQL and Python skills.
• Experience with cloud data platforms (Databricks, Snowflake, or similar).
• Experience designing and orchestrating ETL/ELT pipelines.
• Healthcare data experience (claims, EHR, HEDIS/OMOP) preferred.
• Effective English verbal and written communication.

Responsibilities

• Pipeline Build & Production Ownership.
• Build and maintain data pipelines against the data model and standards defined by Governance & Compliance.
• Own production reliability of the data platform (Databricks, Snowflake), including monitoring and incident response.
• Implement the canonical data model in production, including OMOP/HEDIS mappings.
• Support agentic workflows with clean, timely, well-structured data.
• Partner with the Senior Data Analyst to validate data model and mapping conformance.
• Partner with the Senior Data Scientist and AI/ML Engineer to ensure pipelines meet analytical model needs.
• Flag data quality issues and advise on solutions.
• Identify opportunities to improve pipeline performance, cost, and maintainability.
• Document pipeline architecture and data flows for governance/audit.

Skills

SQL

Python

Databricks

Snowflake

ETL/ELT pipelines

Healthcare data

Communication

Education

Bachelor's degree in Computer Science/Data Engineering/Info Systems

Advanced degree preferred

Tools

Databricks

Snowflake

Job description

Pfizer in the United States is seeking an experienced Data Engineer to build and operate production data pipelines powering AI-based workflows. You will implement canonical data models and ensure high-quality data for analytics and agentic systems.

You will collaborate across governance, data science, and engineering to map OMOP/HEDIS where applicable. The role requires strong SQL/Python skills, experience with Databricks/Snowflake, and healthcare data familiarity; the position is hybrid with